Brandon Fain

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Brandon Fain trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. L. Lov'asz
  2. Duncan K. Foley
  3. Eric Budish
  4. Michael Kearns
  5. Santosh Srinivas Vempala
  6. Ashish Goel
  7. Kamal Kumar Jain
  8. Sébastien Bubeck
  9. David Arthur
  10. Yinyu Ye

Who trusts Brandon Fain overall

  1. Kamesh Munagala
  2. Xingyu Chen
  3. Nisarg Shah
  4. Ninareh Mehrabi

Papers from Brandon Fain's perspective

Ordered by how strongly the researchers Brandon Fain trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Equality of Opportunity in Supervised Learning
  2. Fairness through awareness
  3. Inherent Trade-Offs in the Fair Determination of Risk Scores
  4. Primal-dual approximation algorithms for metric facility location and k-median problems
  5. Local Search Heuristics for k-Median and Facility Location Problems
  6. Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
  7. Clustering to Minimize the Maximum Intercluster Distance
  8. A constant-factor approximation algorithm for the k-median problem (extended abstract)
  9. Nber Working Paper Series Human Decisions and Machine Predictions Human Decisions and Machine Predictions
  10. Algorithmic Decision Making and the Cost of Fairness

Their papers